@article{
 title = {Revenue Forecasting using Holt-Winters Exponential Smoothing},
 type = {article},
 year = {2016},
 keywords = {Bangladesh,Forecast,levels,root mean squared,seasonality,trend},
 pages = {19-25},
 volume = {5},
 id = {1bed0b77-3d55-3b73-a1bf-d40f8adb6e5b},
 created = {2020-11-12T21:39:52.703Z},
 file_attached = {true},
 profile_id = {3d6b17c2-7de8-3a82-bf4f-ddb0e3081e5f},
 last_modified = {2022-05-06T21:48:21.669Z},
 read = {false},
 starred = {false},
 authored = {true},
 confirmed = {true},
 hidden = {false},
 private_publication = {false},
 abstract = {A lot of time series demonstrate seasonal behavior with trend, such type of series was monthly revenue (in crore) of Bangabandhu Multipurpose Bridge. The seasonal forecasting with trend issue was considerable importance. The research work focus on the analysis of seasonal time series data using additive and multiplicative seasonal model of Holt-winters method and forecast the monthly revenue (in crore) using best model-additive Holt-Winters exponential smoothing up to January 2021.},
 bibtype = {article},
 author = {Rahman, Md Habibur and Salma, Umma and Hossain, Md Moyazzem and Khan, Md Tareq Ferdous},
 journal = {Research & Reviews: Journal of Statistics},
 number = {3}
}

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